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The Scientific World Journal
Volume 2014 (2014), Article ID 351518, 11 pages
Research Article

DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning

1La Salle, Ramon Llull University, Quatre Camins 2, 08022 Barcelona, Spain
2Melanoma Unit, Dermatology Department, Clinic Hospital, Rosselló 149, 08036 Barcelona, Spain

Received 7 August 2013; Accepted 12 November 2013; Published 21 January 2014

Academic Editors: S. Jagannathan and S. Sessa

Copyright © 2014 Ruben Nicolas et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The number of melanoma cancer-related death has increased over the last few years due to the new solar habits. Early diagnosis has become the best prevention method. This work presents a melanoma diagnosis architecture based on the collaboration of several multilabel case-based reasoning subsystems called DERMA. The system has to face up several challenges that include data characterization, pattern matching, reliable diagnosis, and self-explanation capabilities. Experiments using subsystems specialized in confocal and dermoscopy images have provided promising results for helping experts to assess melanoma diagnosis.